Eberhard Spanuth

1.0k citations
30 papers · 650 indexed · h-index 12

Impact in

Papers in

Eberhard Spanuth

29 papers receiving 629 citations

Peers

Eberhard Spanuth
Comparison fields: 5 of 74
  • Critical Care and Intensive Care Medicine 82
  • Internal Medicine 51
  • Cardiology and Cardiovascular Medicine 221
  • Epidemiology 283
  • Clinical Biochemistry 30
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Emily Rimmer Canada
Marco Antonio Martínez‐Ríos Mexico
J.J.J. Borm Netherlands
Francesco Bandera Italy
G. Pilz Germany
Stefania Battista Italy
Badira F. Makhoul Israel
Hemang Yadav United States
Alexander Haushofer Austria
Kyeong Won Kang South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Eberhard Spanuth

Since Specialization
Citations

This map shows the geographic impact of Eberhard Spanuth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eberhard Spanuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eberhard Spanuth more than expected).

Fields of papers citing papers by Eberhard Spanuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eberhard Spanuth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eberhard Spanuth. The network helps show where Eberhard Spanuth may publish in the future.

Co-authors

The 25 scholars most cited alongside Eberhard Spanuth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eberhard Spanuth Line = papers co-authored together Eberhard Spanuth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014182
2 201563
3 201755
4 201955
5 200441
6 199337
7 200737
8 201225
9 201721
10 201618
11
Quantitative bedside testing of troponin T: is it equal to laboratory testing? The Cardiac Reader Troponin T (CARE T) study.
200418
12 201317
13 199211
14 200811
15 202111
16 199010
17 19919
18 20115
19 20145
20 19934

About Eberhard Spanuth

Eberhard Spanuth is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Epidemiology and Emergency Medicine, having authored 30 papers that have together received 650 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (10 papers), Sepsis Diagnosis and Treatment (8 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Blood properties and coagulation (4 papers), Neonatal and Maternal Infections (3 papers), Heart Failure Treatment and Management (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (82 citations), Internal Medicine (51 citations), Cardiology and Cardiovascular Medicine (221 citations), Epidemiology (283 citations) and Clinical Biochemistry (30 citations). Eberhard Spanuth has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Roberto Latini, Serge Masson, Pietro Caironi, Luciano Gattinoni, Georg Heß, R Thomae, Caterina Fanizza, G Sangiorgi, Mauro Panigada and Marilena Romero. Their work appears in journals such as Critical Care, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, Anesthesiology and Thrombosis and Haemostasis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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